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  • Validation and Error Generation when using the Data Mapper Pattern

    - by AndyPerlitch
    I am working on saving state of an object to a database using the data mapper pattern, but I am looking for suggestions/guidance on the validation and error message generation step (step 4 below). Here are the general steps as I see them for doing this: (1) The data mapper is used to get current info (assoc array) about the object in db: +=====================================================+ | person_id | name | favorite_color | age | +=====================================================+ | 1 | Andy | Green | 24 | +-----------------------------------------------------+ mapper returns associative array, eg. Person_Mapper::getPersonById($id) : $person_row = array( 'person_id' => 1, 'name' => 'Andy', 'favorite_color' => 'Green', 'age' => '24', ); (2) the Person object constructor takes this array as an argument, populating its fields. class Person { protected $person_id; protected $name; protected $favorite_color; protected $age; function __construct(array $person_row) { $this->person_id = $person_row['person_id']; $this->name = $person_row['name']; $this->favorite_color = $person_row['favorite_color']; $this->age = $person_row['age']; } // getters and setters... public function toArray() { return array( 'person_id' => $this->person_id, 'name' => $this->name, 'favorite_color' => $this->favorite_color, 'age' => $this->age, ); } } (3a) (GET request) Inputs of an HTML form that is used to change info about the person is populated using Person::getters <form> <input type="text" name="name" value="<?=$person->getName()?>" /> <input type="text" name="favorite_color" value="<?=$person->getFavColor()?>" /> <input type="text" name="age" value="<?=$person->getAge()?>" /> </form> (3b) (POST request) Person object is altered with the POST data using Person::setters $person->setName($_POST['name']); $person->setFavColor($_POST['favorite_color']); $person->setAge($_POST['age']); *(4) Validation and error message generation on a per-field basis - Should this take place in the person object or the person mapper object? - Should data be validated BEFORE being placed into fields of the person object? (5) Data mapper saves the person object (updates row in the database): $person_mapper->savePerson($person); // the savePerson method uses $person->toArray() // to get data in a more digestible format for the // db gateway used by person_mapper Any guidance, suggestions, criticism, or name-calling would be greatly appreciated.

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  • Get Started with Silverlight 3 Data Binding

    If you ve learned about data binding from other Microsoft technologies you ll be glad to hear that Silverlight 3 also gives you a smooth way to handle data binding. This article the first one in a multi-part series gets you started by teaching you some of the techniques you ll need to handle data binding successfully.... Test Drive the Next Wave of Productivity Find Microsoft Office 2010 and SharePoint 2010 trials, demos, videos, and more.

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  • Generating SQL Server Test Data with Visual Studio 2010

    As a database developer or tester sometimes you need to have production like data in your environment for your development or testing, but you cannot have the production data because of security and privacy issues. So how you can generate test data or replicate similar data as in production for your development or test environment? Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • Generating Data for Database Tests

    It is more and more essential for developers to work on development databases that have realistic data in both type and quantity, but without using real data. It isn't exactly easy, even with third-party tools to hand. Phil Factor shows how it can be done, taking the classic PUBS database and giving it a more realistic set of data. Get smart with SQL Backup ProPowerful centralised management, encryption and more.SQL Backup Pro was the smartest kid at school. Discover why.

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  • How to deal with meta data with drop downs?

    - by Mangesh Jogade
    Please advise how to handle following scenario in web application. I have a drop-down which is populated using meta-data from table A. When form is submitted this drop down data is stored in table B. While displaying existing data, it is populated using data stored in table B. While copying existing data, it is copied using data stored in table B. I want to achieve following goals: While displaying existing data I must display data irrespective of current meta data (to explain, even if some options are removed from metadata I still display them). When I copy existing data only current data should be copied(that is if some options are removed from metadata I should not copy them). I understand that I can do this by scanning metadata every time I copy existing data, however if there are thousands of such drop down exist, it is definitely not desirable to scan complete metadata for every drop down. How can I handle such situation in web application?

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  • Identifying elements from data feeds generated by affiliate sites

    - by SPI
    I am working with data feeds from affiliate sites. The basic idea is to provide an interface where the user can paste a link to an XML datafeed (these are huge btw, around 60 mb) that would then be streamed, parsed into small chunks, and mined for the required data which would then be stored in the database. The problem is that different affiliate sites have different Schemas for their XML's. It is a little hard mapping the elements in an XML to your database attributes when you don't actually know which element contains what. My Solution: Use XPath to traverse through the first set of parent and it's descendent's, fetch the elements as well as the data and and ask the user to map this data to the attributes in the database by selecting from a set of radio buttons that represent the attributes from the database. This will be done just once for each new Feed, once the system know's what's what it will automatically upload the data from the XML to the database. Does this sound viable? Is there a better solution? I realize this leaves an uncomfortable opening for human error.. Thanks.

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  • Silverlight 3.0 and ADO.NET data service framework(An error occurred while processing this request)

    - by ybbest
    Today , I try to write a Silverlight app that talks to SharePoint 2010 using the REST API.However after deploy the silverlight app and run the code , I got the following error.In order to fix this I need to make the target framework of your caller application to 4.0,in this case I need to use Silverlight 4.0 instead 3.0.After I have done that and redeploy the solution to the SharePoint.It works like a charm.   Exceptions details: System.Data.Services.Client.DataServiceQueryException: An error occurred while processing this request. Request version ’1.0′ is too low for the response. The lowest supported version is ’2.0′. However , if you got the error like this: Could not load type ‘System.Data.Services.Providers.IDataServiceUpdateProvider’ from assembly ‘System.Data.Services, Version=3.5.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089′,then you need to install ADO.NET Data Services Update for .NET Framework 3.5 SP1 ,you can download here (for windowns 7 and server 2008 r2 ) or here (for windows vista of server 2008).

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  • Archiving SQL Server Data Using Partitioning

    Many companies now have a requirement to keep data for long periods of time. While this data does have to be available if requested, it usually does not need to be accessible by the application for any current transactions. Data that falls into this category are a good candidate for archival. Is your SQL Database under Version Control?SSMS plug-in SQL Source Control connects SVN, TFS, Git, Hg and all others to SQL Server. Learn more.

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  • What is the good way of sharing specific data between ViewModels

    - by voroninp
    We have IAppContext which is injected into ViewModel. This service contains shared data: global filters and other application wide properties. But there are cases when data is very specific. For example one VM implements Master and the second one - Details of selected tree item. Thus DetailsVm must know about the selected item and its changes. We can store this information either in IAppContext or inside each concerned VM. In both cases update notifications are sent via Messenger. I see pros and cons for any of the approaches and can not decide which one is better. 1st: + explicitly exposed shared proerties, easy to follow dependencies - IAppContxt becomes cluttered with very specific data. 2nd: the exact opposite of the first and more memory load due to data duplication. May be someone can offer design alternatives or tell that one of the variants is objectively superior to the other cause I miss something important?

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  • Performance Tuning in the Age of Big Data

    Database Administrators must now deal with large volumes of data and new forms of high-speed data analysis. If your responsibility includes performance tuning, here are the areas to focus on that will become more and more important in the age of Big Data. Total DeploymentEnjoy easy release management for your .NET apps, services, and databases with Deployment Manager. Get your free Starter edition now

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  • Exploring TCP throughput with DTrace (2)

    - by user12820842
    Last time, I described how we can use the overlap in distributions of unacknowledged byte counts and send window to determine whether the peer's receive window may be too small, limiting throughput. Let's combine that comparison with a comparison of congestion window and slow start threshold, all on a per-port/per-client basis. This will help us Identify whether the congestion window or the receive window are limiting factors on throughput by comparing the distributions of congestion window and send window values to the distribution of outstanding (unacked) bytes. This will allow us to get a visual sense for how often we are thwarted in our attempts to fill the pipe due to congestion control versus the peer not being able to receive any more data. Identify whether slow start or congestion avoidance predominate by comparing the overlap in the congestion window and slow start distributions. If the slow start threshold distribution overlaps with the congestion window, we know that we have switched between slow start and congestion avoidance, possibly multiple times. Identify whether the peer's receive window is too small by comparing the distribution of outstanding unacked bytes with the send window distribution (i.e. the peer's receive window). I discussed this here. # dtrace -s tcp_window.d dtrace: script 'tcp_window.d' matched 10 probes ^C cwnd 80 10.175.96.92 value ------------- Distribution ------------- count 1024 | 0 2048 | 4 4096 | 6 8192 | 18 16384 | 36 32768 |@ 79 65536 |@ 155 131072 |@ 199 262144 |@@@ 400 524288 |@@@@@@ 798 1048576 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 3848 2097152 | 0 ssthresh 80 10.175.96.92 value ------------- Distribution ------------- count 268435456 | 0 536870912 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 1073741824 | 0 unacked 80 10.175.96.92 value ------------- Distribution ------------- count -1 | 0 0 | 1 1 | 0 2 | 0 4 | 0 8 | 0 16 | 0 32 | 0 64 | 0 128 | 0 256 | 3 512 | 0 1024 | 0 2048 | 4 4096 | 9 8192 | 21 16384 | 36 32768 |@ 78 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5391 131072 | 0 swnd 80 10.175.96.92 value ------------- Distribution ------------- count 32768 | 0 65536 |@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 5543 131072 | 0 Here we are observing a large file transfer via http on the webserver. Comparing these distributions, we can observe: That slow start congestion control is in operation. The distribution of congestion window values lies below the range of slow start threshold values (which are in the 536870912+ range), so the connection is in slow start mode. Both the unacked byte count and the send window values peak in the 65536-131071 range, but the send window value distribution is narrower. This tells us that the peer TCP's receive window is not closing. The congestion window distribution peaks in the 1048576 - 2097152 range while the receive window distribution is confined to the 65536-131071 range. Since the cwnd distribution ranges as low as 2048-4095, we can see that for some of the time we have been observing the connection, congestion control has been a limiting factor on transfer, but for the majority of the time the receive window of the peer would more likely have been the limiting factor. However, we know the window has never closed as the distribution of swnd values stays within the 65536-131071 range. So all in all we have a connection that has been mildly constrained by congestion control, but for the bulk of the time we have been observing it neither congestion or peer receive window have limited throughput. Here's the script: #!/usr/sbin/dtrace -s tcp:::send / (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { @cwnd["cwnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd); @ssthresh["ssthresh", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_cwnd_ssthresh); @unacked["unacked", args[4]-tcp_sport, args[2]-ip_daddr] = quantize(args[3]-tcps_snxt - args[3]-tcps_suna); @swnd["swnd", args[4]-tcp_sport, args[2]-ip_daddr] = quantize((args[4]-tcp_window)*(1 tcps_snd_ws)); } One surprise here is that slow start is still in operation - one would assume that for a large file transfer, acknowledgements would push the congestion window up past the slow start threshold over time. The slow start threshold is in fact still close to it's initial (very high) value, so that would suggest we have not experienced any congestion (the slow start threshold is adjusted when congestion occurs). Also, the above measurements were taken early in the connection lifetime, so the congestion window did not get a changes to get bumped up to the level of the slow start threshold. A good strategy when examining these sorts of measurements for a given service (such as a webserver) would be start by examining the distributions above aggregated by port number only to get an overall feel for service performance, i.e. is congestion control or peer receive window size an issue, or are we unconstrained to fill the pipe? From there, the overlap of distributions will tell us whether to drill down into specific clients. For example if the send window distribution has multiple peaks, we may want to examine if particular clients show issues with their receive window.

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  • Log of data transfer and copied from Ubuntu

    - by Gaurav_Java
    Yesterday my friend ask me for some files i told him that take it from my system i don't see . what extra files or data he take from my system . I was thinking is here any application or method which shows what data is copied to which USB (if name available then shows name or otherwise device id ). and what data is beign copied to ubuntu machine . It is some like history of USB and System data . i think this feature is in KDE this will really useful in may ways. it provides real time and monitoring utility to monitor USB mass storage devices activities on any machine .

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  • Master Data and Data Quality - Do You Really Know Your Customer?

    - by Mala Narasimharajan
    How well do you know your customer?   Data Quality and MDM go hand-in-hand when it comes to fully knowing your customers and information related to the Take a look at this video and see why customer data needs a consolidated management strategy that incorporates data quality.  Oracle MDM, specifically Oracle Customer Hub enables enterprises to truly understand their customers and ensure a single, trusted view for any customer.  It offers the most complete MDM application suite in the marketplace.  For more information on Oracle MDM and Oracle Enterprise Data Quality visit us on the web.  

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  • Securing a Cloud-Based Data Center

    - by Orgad Kimchi
    No doubt, with all the media reports about stolen databases and private information, a major concern when committing to a public or private cloud must be preventing unauthorized access of data and applications. In this article, we discuss the security features of Oracle Solaris 11 that provide a bullet-proof cloud environment. As an example, we show how the Oracle Solaris Remote Lab implementation utilizes these features to provide a high level of security for its users. Note: This is the second article in a series on cloud building with Oracle Solaris 11. See Part 1 here.  When we build a cloud, the following aspects related to the security of the data and applications in the cloud become a concern: • Sensitive data must be protected from unauthorized access while residing on storage devices, during transmission between servers and clients, and when it is used by applications. • When a project is completed, all copies of sensitive data must be securely deleted and the original data must be kept permanently secure. • Communications between users and the cloud must be protected to prevent exposure of sensitive information from “man in a middle attacks.” • Limiting the operating system’s exposure protects against malicious attacks and penetration by unauthorized users or automated “bots” and “rootkits” designed to gain privileged access. • Strong authentication and authorization procedures further protect the operating system from tampering. • Denial of Service attacks, whether they are started intentionally by hackers or accidentally by other cloud users, must be quickly detected and deflected, and the service must be restored. In addition to the security features in the operating system, deep auditing provides a trail of actions that can identify violations,issues, and attempts to penetrate the security of the operating system. Combined, these threats and risks reinforce the need for enterprise-grade security solutions that are specifically designed to protect cloud environments. With Oracle Solaris 11, the security of any cloud is ensured. This article explains how.

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  • Comparisons of Javascript 'data grids'?

    - by Joe
    I've found plenty of questions between here and StackExchange of people asking for the 'best' data grid / data table, or one that has a particular feature, and plenty of lists out there (of various ages) listing the various data grid implementations ... but is anyone aware of any matrix of what features the various solutions implement? (eg, allow shift-click to select multiple; support checkboxes for selection; can update a regular table in-place; allow editing of cells; support websql or indexeddb for local caching; which browsers they support; infinite scroll; etc.) There's a generic 'javascript framework' comparison on wikipedia, which would be the sort of thing I'm looking for, but it doesn't go into detail on data grids. (which makes sense, as so many are extensions, not core features of those frameworks, and in the case of jQuery, there's lots of 'em.)

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  • Protecting the integrity of a game state while minimizing amount of data sent

    - by espais
    I'm developing a game in PHP/jQuery, and naturally have to be wary of any sort of data coming from the client. At present, I have tables of data representing the map (2D roguelike), monsters, items, and player(s). Initially, my thought was to simply package it all in a JSON object and send it every game tick, however when actually looking at the data I realized that's quite a large packet to be sending. So, my question is what is a good approach for minimizing data sent to the client? Obviously I would need to figure out some way of validating whatever it sends back. Initially we'd hoped to do some minimal verification on the client-side, but each time we thought of one thing we could do it is immediately invalidated with tools like Firebug. Kind of an open question I realize, but we want to get this right before we move on with our implementation so we don't have to shoehorn in bugfixes later on.

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  • Android : un nouveau canal de distribution privée spécialement dédié aux entreprises arrive dans le Google Play Store

    Android : un nouveau canal de distribution privé Spécialement dédié aux entreprises, il arrive dans le Google Play Store Voilà une nouveauté qui va plaire aux professionnels en charge de la gestion des applications d'entreprise. Le Google Play Store (ex-Android Market) s'enrichit d'un nouveau « canal de distribution » spécialement dédié aux professionnels. Baptisé Google Play Private Channel, il permet de déployer des applications mobiles sans passer par la galerie grand public. L'entreprise ouvre un domaine sur Google Play, met en ligne ses apps privées, et l'utilisateur n'a plus qu'à se connecter avec son adresse corporate ? via le Marketplace ? à ce domaine...

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